Modeling the relationship between cervical cancer mortality and trace elements based on genetic algorithm-partial

Chao Tan1, Hui Chen, Tong Wu

  • 1Department of Chemistry and Chemical Engineering, Yibin University, Yibin, People's Republic of China. chaotan1112@163.com

Summary

This study explored the link between cervical cancer mortality and soil trace elements in China. The findings suggest that a combination of genetic algorithm-partial least squares (GA-PLS) and least square support vector machine (LSSVM) can predict cancer mortality.

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